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Open AccessArticle
Sea Clutter Suppression for Shipborne DRM-Based Passive Radar via Carrier Domain STAP
by
Yijia Guo
Yijia Guo
Yijia Guo received a B.S. degree in Electronic Information Engineering from the Harbin Institute of [...]
Yijia Guo received a B.S. degree in Electronic Information Engineering from the Harbin Institute of Technology, Harbin, China, in 2021, where she is currently pursuing a Ph.D. degree in Information and Communication Engineering. Her research interests include passive radar clutter suppression and optimization theory.
†,
Jun Geng
Jun Geng
Jun Geng received B.E. and M.E. degrees from Harbin Institute of Technology, Harbin, China, in 2007 [...]
Jun Geng received B.E. and M.E. degrees from Harbin Institute of Technology, Harbin, China, in 2007 and 2009, respectively, and the Ph.D. degree from Worcester Polytechnic Institute, MA, United States, in 2015. Since June 2015, he has been an associate professor at Harbin Institute of Technology. Dr. Geng’s research interests include stochastic signal processing, wireless communications, and other related areas.
*,†
,
Xun Zhang
Xun Zhang
Xun Zhang received a B.S. degree in Electronic and Information Engineering in 2021 from the Harbin a [...]
Xun Zhang received a B.S. degree in Electronic and Information Engineering in 2021 from the Harbin Institute of Technology, Harbin, China, where he is currently pursuing a Ph.D. degree. His research interests include target localization and tracking, passive radar signal processing, and optimization theory.
and
Haiyu Dong
Haiyu Dong
Haiyu Dong was born in 2000. She received a B.S. degree in Electronic Information Engineering from a [...]
Haiyu Dong was born in 2000. She received a B.S. degree in Electronic Information Engineering from Harbin Institute of Technology (HIT), Harbin, China, in 2022. She is currently pursuing a Ph.D. degree in Information and Communication Engineering at HIT. Her current research interests are in signal processing and multi-station joint target detection.
Research Institute of Electronic Engineering Technology, Harbin Institute of Technology, Harbin 150001, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Remote Sens. 2025, 17(12), 1985; https://doi.org/10.3390/rs17121985 (registering DOI)
Submission received: 28 April 2025
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Revised: 29 May 2025
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Accepted: 6 June 2025
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Published: 8 June 2025
Abstract
This paper proposes a new carrier domain approach to suppress spreading first-order sea clutter in shipborne passive radar systems using Digital Radio Mondiale (DRM) signals as illuminators. The DRM signal is a broadcast signal that operates in the high-frequency (HF) band and employs orthogonal frequency-division multiplexing (OFDM) modulation. In shipborne DRM-based passive radar, sea clutter sidelobes elevate the noise level of the clutter-plus-noise covariance matrix, thereby degrading the target signal-to-interference-plus-noise ratio (SINR) in traditional space–time adaptive processing (STAP). Moreover, the limited number of space–time snapshots in traditional STAP algorithms further degrades clutter suppression performance. By exploiting the multi-carrier characteristics of OFDM, this paper proposes a novel algorithm, termed Space Time Adaptive Processing by Carrier (STAP-C), to enhance clutter suppression performance. The proposed method improves the clutter suppression performance from two aspects. The first is removing the transmitted symbol information from the space–time snapshots, which significantly reduces the effect of the sea clutter sidelobes. The other is using the space–time snapshots obtained from all subcarriers, which substantially increases the number of available snapshots and thereby improves the clutter suppression performance. In addition, we combine the proposed algorithm with the dimensionality reduction algorithm to develop the Joint Domain Localized-Space Time Adaptive Processing by Carrier (JDL-STAP-C) algorithm. JDL-STAP-C algorithm transforms space–time data into the angle–Doppler domain for clutter suppression, which reduces the computational complexity. Simulation results show the effectiveness of the proposed algorithm in providing a high improvement factor (IF) and less computational time.
Share and Cite
MDPI and ACS Style
Guo, Y.; Geng, J.; Zhang, X.; Dong, H.
Sea Clutter Suppression for Shipborne DRM-Based Passive Radar via Carrier Domain STAP. Remote Sens. 2025, 17, 1985.
https://doi.org/10.3390/rs17121985
AMA Style
Guo Y, Geng J, Zhang X, Dong H.
Sea Clutter Suppression for Shipborne DRM-Based Passive Radar via Carrier Domain STAP. Remote Sensing. 2025; 17(12):1985.
https://doi.org/10.3390/rs17121985
Chicago/Turabian Style
Guo, Yijia, Jun Geng, Xun Zhang, and Haiyu Dong.
2025. "Sea Clutter Suppression for Shipborne DRM-Based Passive Radar via Carrier Domain STAP" Remote Sensing 17, no. 12: 1985.
https://doi.org/10.3390/rs17121985
APA Style
Guo, Y., Geng, J., Zhang, X., & Dong, H.
(2025). Sea Clutter Suppression for Shipborne DRM-Based Passive Radar via Carrier Domain STAP. Remote Sensing, 17(12), 1985.
https://doi.org/10.3390/rs17121985
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